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Purdue_Hevner_Presentation

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Published on December 2, 2008

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Health Care Data Warehousing:Current and Future Directions : March 28, 2003 Computer Science 40th Anniversary Symposium 1 Health Care Data Warehousing:Current and Future Directions Alan R. Hevner ahevner@coba.usf.edu Information Systems and Decision Sciences College of Business Administration University of South Florida Tampa, FL Outline : March 28, 2003 Computer Science 40th Anniversary Symposium 2 Outline Research Portfolio Health Care Data Warehousing Future Directions Bioterrorism Surveillance Systems Environmental Health Physician/Hospital/Procedure Volume Studies Research Portfolio : March 28, 2003 Computer Science 40th Anniversary Symposium 3 Research Portfolio National Institute for Software Testing and Productivity (NISTP) – DOD Funding Computational Intelligence (CI) Testing Tools Graduate Courses on Software Testing Telemedicine Quality Attributes – VA Partner Formal Methods for Network-Centric System Specification E-Commerce Software Development Collaborative Programming and Agile Methods Inspection Techniques for Graphical Models Design Science as a Research Paradigm in IS Health Care Data Warehouse Research : March 28, 2003 Computer Science 40th Anniversary Symposium 4 Health Care Data Warehouse Research Co-Principal Investigators James Studnicki - COPH, USF Don Berndt and Alan Hevner - COBA, USF Research Staff Center for Health Outcomes Research Staff COBA and COPH Doctoral and Masters Students Collaboration and Funding U.S. Dept. of Commerce TOP Grant Florida Department of Health Bear Stearns Research Laboratory Florida Communities CATCH Data Warehouse : March 28, 2003 Computer Science 40th Anniversary Symposium 5 CATCH Data Warehouse Utilizes over 400 health status indicators. Vital Statistics Hospital Discharges Cancer Registry Demographics Marketing Data Data Dissemination Modes : March 28, 2003 Computer Science 40th Anniversary Symposium 6 Data Dissemination Modes Effective Presentation of Data Warehouse Information to Decision Makers Data Dissemination Modes Ad-Hoc Queries and Data Browsing (SQL/QBE) Pre-Defined Report Generation (CATCH Reports) Desktop Data Warehousing (iCAP - MS Excel) Online Analytic Processing (OLAP) Geographic Information Systems (GIS) Web-Enabled Access CATCH Workflow : March 28, 2003 Computer Science 40th Anniversary Symposium 7 CATCH Workflow Data Staging Customized for state data. Indicator Calculation Report Production OLAP Access Pre-Defined CATCH Reports Research Applications : March 28, 2003 Computer Science 40th Anniversary Symposium 8 Research Applications Bioterrorism Surveillance Systems Environmental Health Impacts – EPA Project Physician/Hospital/Procedure Volume Studies Bioterrorism Surveillance Systems : March 28, 2003 Computer Science 40th Anniversary Symposium 9 Bioterrorism Surveillance Systems Sentinel Networks Throughout Florida Anticipate and prevent (if possible). Sense and provide early warning. React and minimize epidemiological impacts. Surveillance System Infrastructure Networks connecting sensors and early data indicators. Historical data warehouses for pattern recognition. Intelligent agents to alert populace, disseminate reaction, and eliminate threat. Three Pillars of Threat Surveillance : March 28, 2003 Computer Science 40th Anniversary Symposium 10 Three Pillars of Threat Surveillance Real-Time Data Collection Data with minimal lag time. Data Warehousing & Data Mining Historical context, analysis, and pattern recognition techniques for threat detection. Communications & Alert Networks Timely dissemination to response groups. “A surveillance system includes a functional capacity for data collection, analysis, and dissemination linked to public health programs.” [CDC] Surveillance System Architecture : March 28, 2003 Computer Science 40th Anniversary Symposium 11 Surveillance System Architecture Research Challenges Flash / Real-Time Data Warehouses Threat Detection via Data Mining Data Mining & Pattern Recognition : March 28, 2003 Computer Science 40th Anniversary Symposium 12 Data Mining & Pattern Recognition Alarm thresholds are determined on the basis of historical pattern recognition. Does the current real time data constitute an abnormal pattern? Historical health care data is maintained in a data warehouse. Sophisticated browsing technologies and/or intelligent data mining will help recognize when data streams trigger alarm thresholds for a threat. Environmental Health Project : March 28, 2003 Computer Science 40th Anniversary Symposium 13 Environmental Health Project Develop a series of indicators that can characterize community exposure to various environmental contaminants or hazards. Use evolving EPA models of dispersion and exposure. Collect experiential and historical information. Describe the socioeconomic and demographic characteristics of these communities of interest. Investigate any association between exposure levels and variation in health status. Tools include hierarchical linear models and spatial statistics. All Cancer Mortality : All Cancer Mortality Health Status Indicators Merged with Environmental Exposure Data Total TRI Air Emissions : Total TRI Air Emissions Source: EPA 1999 Toxic Release Inventory Health Status Indicators Merged with Environmental Exposure Data Clinical Volume Research : March 28, 2003 Computer Science 40th Anniversary Symposium 16 Clinical Volume Research Web-based access to volume data on: Procedures Physicians Hospitals Relationship of volume to positive patient outcomes Applications Healthcare Organizations Consumers Compelling research results Paper under review at Peer Refereed Journal Extract of Research Findings : Extract of Research Findings © 2002 Studnicki et al. Submitted for journal publication. Do not copy without permission of authors. Application Directions : March 28, 2003 Computer Science 40th Anniversary Symposium 18 Application Directions Hospital Use Risk Management Retrospectively analyze patterns of low hospital/MD combinations Identify variation in volume related processes of care (e.g., based on payer source) “Real time” risk assessment at scheduling Develop guidelines/algorithms Referral patterns Privileging considerations Consumer Use Selection of Doctors and Hospitals Education Future Research Directions : March 28, 2003 Computer Science 40th Anniversary Symposium 19 Future Research Directions Health care data quality at source Motivation for reporting timely and accurate data Data collection audits Use of health care data in communities National Standards for community health assessments (very limited data sets required) How are data used to make health care decisions? Different stakeholders use of data Ability to inform national debate on health care issues Quality of Care to poor, disadvantaged, minorities Comparison of care under different health care programs (Managed Care Programs)

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